Juan (Wendy) Zhao, PhD

Research Assistant Professor

Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study

Journal article

Juan Zhao, Yun Zhang, David J. Schlueter, Patrick Wu, Vern Eric Kerchberger, S. Trent Rosenbloom, Quinn S. Wells, QiPing Feng, Joshua C. Denny, Wei-Qi Wei
Journal of Biomedical Informatics, vol. 98, 2019 Oct, p. 103270
Cite

Cite

APA
Zhao, J., Zhang, Y., Schlueter, D. J., Wu, P., Eric Kerchberger, V., Trent Rosenbloom, S., … Wei, W.-Q. (2019). Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study. Journal of Biomedical Informatics, 98, 103270.

Chicago/Turabian
Zhao, Juan, Yun Zhang, David J. Schlueter, Patrick Wu, Vern Eric Kerchberger, S. Trent Rosenbloom, Quinn S. Wells, QiPing Feng, Joshua C. Denny, and Wei-Qi Wei. “Detecting Time-Evolving Phenotypic Topics via Tensor Factorization on Electronic Health Records: Cardiovascular Disease Case Study.” Journal of Biomedical Informatics 98 (October 2019): 103270.

MLA
Zhao, Juan, et al. “Detecting Time-Evolving Phenotypic Topics via Tensor Factorization on Electronic Health Records: Cardiovascular Disease Case Study.” Journal of Biomedical Informatics, vol. 98, Oct. 2019, p. 103270.

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